I would like to specify time-varying (level-1) random effects to account
for within-person time-varying covariates (tv1 and tv2). Following
examples in the GLLAMM documentation and in Rabe-Hesketh/Everitt's
handbook of Statistical Analyses using Stata - 3rd edition, I have
determined that for the unconditional growth model:
1) the random effects of intercept and slope would be: eq inter:cons and
eq slope:day, and
2) gllamm dep_var response day, nrf(2) eqs(inter slope) family(binom)
link(log) adapt i(id).
Would inclusion of 2 time-varying covariates then be:
1) eq inter:cons tv1 tv2 and eq slope:day, and
2) gllamm dep_var response day tv1 tv2, nrf(2) eqs(inter slope)
family(binom) link(log) adapt i(id)?
Thank you,
Mark E. Boye MBA, MPH, Ph.D.
Sr. Outcomes Research Scientist
WW Outcomes Research
Midwest/Ann Arbor Development Site
Pfizer Inc
1600/200/2101
2800 Plymouth Road
Ann Arbor, MI 48105-2430
Tel: 734-622-4856
Fax: 734-622-2055
E-mail: [email protected]
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